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Found 3 papers, 1 papers with code
On High dimensional Poisson models with measurement error: hypothesis testing for nonlinear nonconvex optimization
Correcting for the estimation bias due to the covariate noise leads to a non-convex target function to minimize.
Sufficient Dimension Reduction for Feasible and Robust Estimation of Average Causal Effect
When estimating the treatment effect in an observational study, we use a semiparametric locally efficient dimension reduction approach to assess both the treatment assignment mechanism and the average responses in both treated and nontreated groups.
Methodology
Functional Inverse Regression in an Enlarged Dimension Reduction Space
Our operator and functional analysis based approach facilitates a compact and rigorous formulation of the functional inverse regression problem.
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